Protein Engineering

ube4b · Fully connected

reference_ube4b_fc_plm_randomf0_20261104-174841

Metrics

Setmsepearsonrspearmanrr2above_wt_nabove_wt_spearmanrbudget_to_maxhit_rate_at_10mean_at_10max_at_10precision_at_10tie_share_at_10captured_at_10hit_rate_at_50mean_at_50max_at_50precision_at_50tie_share_at_50captured_at_50hit_rate_at_100mean_at_100max_at_100precision_at_100tie_share_at_100captured_at_100hit_rate_at_1pctmean_at_1pctmax_at_1pctprecision_at_1pcttie_share_at_1pctcaptured_at_1pct
train2.04140.68340.64820.465012442.00000.46511.00001.00006.36059.18450.30000.00000.83331.00005.31219.18450.32000.00000.84001.00005.01309.18450.36000.00000.85740.99493.94239.18450.55930.00000.8854
validation2.12210.66360.62380.43984135.00000.4485198.00001.00005.25026.57580.10000.00000.82401.00004.33266.57580.38000.00000.80591.00004.12236.57580.45000.00000.84030.98983.89066.57580.54310.00000.8797
test2.13340.65570.62000.42934174.00000.417927.00001.00004.91627.82590.10000.00000.74911.00004.78028.62460.40000.00000.85851.00004.43238.62460.51000.00000.88480.98983.80438.62460.57870.00000.8653

Loss per epoch

training validation

Config

name: reference_ube4b_fc_plm_randomf0
task: dms
data:
  dataset: ube4b
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: random
  split_fold: 0
model:
  name: fcn
  hidden:
  - 100
  - 100
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 64
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7